first

main.py

@@ -0,0 +1,18 @@
+from transformers import AutoTokenizer, AutoModelForSequenceClassification ,pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT_sentiment_analysis")
+
+model = AutoModelForSequenceClassification.from_pretrained("avichr/heBERT_sentiment_analysis")
+
+sentiment_analysis = pipeline(
+    "sentiment-analysis",
+    model="avichr/heBERT_sentiment_analysis",
+    tokenizer="avichr/heBERT_sentiment_analysis",
+    return_all_scores = True
+)
+
+import gradio as gr
+def sme(text):
+  return sentiment_analysis(text)
+demo = gr.Interface(fn=sme, inputs="text", outputs="json")
+demo.launch(share=True)